Case Study: Zulily increases revenue and enhances customer experiences through real-time analytics with Google Cloud Platform

Zulily Increasing revenue, enhancing customer experiences with real-time analytics

zulily, a Seattle‑based online retailer that launches about 9,000 new product styles daily and serves over 5 million customers, needed real‑time intelligence to optimize inventory, personalize offers, and maximize revenue. Their existing Hadoop platform on bare‑metal cloud servers couldn’t keep up with rapid growth, consumed too much engineering time, and lacked the analytics capabilities to process massive clickstream streams.

By moving its data pipeline to Google Cloud Platform — using Dataproc, BigQuery, Cloud Storage, Cloud SQL, Bigtable and GKE — zulily scaled daily clickstream collection from 50 million to 5 billion events, enabled real‑time personalization and merchant visibility, and reclaimed engineering capacity. The result: significant lifts in sales conversion and marketing effectiveness, faster innovation cycles, better customer notifications and suggestions, and reduced operational overhead.

Zulily

Bindu Thota

Director of Product Management